The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-12-10"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "69592554 (up from 68894596 yesterday: 1.01 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "1581856 (up from 1569374 yesterday: 0.8 % increase)"

Overall Confirmed Cases Count Worldwide in the past 21 Days 

## [1] 12638006

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 2.27



In- Depth Country Wise Stats (With Atleast 100000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 15611014 224452 1.46 3880573 292141 2768 0.96 1.87
India 9796744 29373 0.30 792379 142185 413 0.29 1.45
Brazil 6781799 53347 0.79 800032 179765 770 0.43 2.65
Russia 2546113 27562 1.09 547147 44769 549 1.24 1.76
France 2391643 13730 0.58 254547 57044 292 0.51 2.39
United Kingdom 1792611 21066 1.19 335671 63179 516 0.82 3.52
Italy 1787147 16998 0.96 478619 62626 887 1.44 3.50
Spain 1720056 7955 0.46 178482 47344 325 0.69 2.75
Argentina 1482216 6994 0.47 132782 40431 209 0.52 2.73
Colombia 1399911 7778 0.56 174421 38484 176 0.46 2.75
Germany 1287092 32734 2.61 395567 21064 604 2.95 1.64
Mexico 1217126 11897 0.99 197583 112326 671 0.60 9.23
Poland 1102096 13750 1.26 305298 21630 470 2.22 1.96
Iran 1083023 10403 0.97 267906 51496 284 0.55 4.75
Peru 979111 2490 0.25 39180 36499 98 0.27 3.73
Turkey 955766 30424 3.29 525596 15751 220 1.42 1.65
Ukraine 881727 13736 1.58 281575 14981 279 1.90 1.70
South Africa 836764 8166 0.99 77106 22747 173 0.77 2.72
Belgium 600397 2754 0.46 50133 17692 89 0.51 2.95
Indonesia 598933 6033 1.02 115415 18336 165 0.91 3.06
Netherlands 595473 8830 1.51 120832 9985 62 0.62 1.68
Iraq 571253 1380 0.24 42027 12526 25 0.20 2.19
Chile 566440 1662 0.29 30428 15774 84 0.54 2.78
Czechia 563333 6406 1.15 81578 9226 90 0.99 1.64
Romania 539107 7067 1.33 145256 12948 127 0.99 2.40
Bangladesh 485965 1861 0.38 44806 6967 37 0.53 1.43
Canada 445828 6686 1.52 126581 13130 121 0.93 2.95
Philippines 445540 1376 0.31 32110 8701 24 0.28 1.95
Pakistan 432327 3047 0.71 63662 8653 50 0.58 2.00
Morocco 391529 3345 0.86 79975 6492 65 1.01 1.66
Switzerland 368695 5041 1.39 83040 5824 114 2.00 1.58
Saudi Arabia 359415 141 0.04 4888 6012 10 0.17 1.67
Israel 352397 2126 0.61 25042 2961 27 0.92 0.84
Portugal 335207 3134 0.94 92198 5278 86 1.66 1.57
Austria 313688 2686 0.86 85005 4163 107 2.64 1.33
Sweden 312728 7935 2.60 111673 7354 58 0.79 2.35
Hungary 265003 5415 2.09 103542 6451 171 2.72 2.43
Jordan 253121 2902 1.16 83726 3250 44 1.37 1.28
Serbia 249224 7393 3.06 145127 2172 56 2.65 0.87
Nepal 245650 1217 0.50 30630 1663 12 0.73 0.68
Ecuador 200379 1151 0.58 17133 13850 36 0.26 6.91
Panama 185424 2447 1.34 34335 3287 23 0.70 1.77
Kazakhstan 183630 973 0.53 19052 2550 4 0.16 1.39
United Arab Emirates 181405 1255 0.70 26151 602 4 0.67 0.33
Georgia 178953 4570 2.62 85861 1657 43 2.66 0.93
Bulgaria 174568 3075 1.79 60133 5405 122 2.31 3.10
Japan 172406 2977 1.76 46547 2395 19 0.80 1.39
Croatia 163992 4620 2.90 70113 2420 53 2.24 1.48
Azerbaijan 162774 4219 2.66 78780 1793 38 2.17 1.10
Belarus 154392 1939 1.27 35002 1238 8 0.65 0.80
Dominican Republic 151721 1560 1.04 15538 2358 8 0.34 1.55
Costa Rica 149815 1127 0.76 21584 1882 18 0.97 1.26
Bolivia 146385 325 0.22 2629 9008 4 0.04 6.15
Kuwait 145495 291 0.20 6673 910 5 0.55 0.63
Armenia 145240 1174 0.81 23261 2416 23 0.96 1.66
Lebanon 142187 1778 1.27 30241 1170 14 1.21 0.82
Qatar 140516 163 0.12 3867 240 0 0.00 0.17
Guatemala 127786 659 0.52 10720 4345 34 0.79 3.40
Oman 125669 179 0.14 4309 1463 2 0.14 1.16
Slovakia 124921 3125 2.57 33343 1104 20 1.85 0.88
Moldova 122685 1715 1.42 28724 2500 19 0.77 2.04
Greece 121253 1533 1.28 35992 3370 81 2.46 2.78
Egypt 120147 445 0.37 8192 6854 22 0.32 5.70
Ethiopia 115360 526 0.46 10933 1779 10 0.57 1.54
Honduras 113207 415 0.37 9719 2968 7 0.24 2.62
Tunisia 107814 958 0.90 24042 3758 41 1.10 3.49
Venezuela 106280 428 0.40 7615 938 5 0.54 0.88
West Bank and Gaza 104879 1887 1.83 37583 910 20 2.25 0.87
Burma 104487 1321 1.28 29605 2201 27 1.24 2.11
Denmark 101027 3132 3.20 33406 918 14 1.55 0.91

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
California 1482551 33564 2.32 405377 20603 192 0.94 1.39 37521.33 521.43 1 in 27
Texas 1374256 14305 1.05 254614 23897 240 1.01 1.74 47394.87 824.15 1 in 21
Florida 1094697 11335 1.05 180364 19591 129 0.66 1.79 50968.92 912.15 1 in 20
Illinois 823531 11101 1.37 202148 14844 232 1.59 1.80 64989.16 1171.42 1 in 15
New York 743242 10178 1.39 163860 35266 83 0.24 4.74 38205.96 1812.83 1 in 26
Ohio 531850 11738 2.26 205235 7298 111 1.54 1.37 45499.65 624.34 1 in 22
Georgia 525402 7623 1.47 88246 9975 54 0.54 1.90 49484.89 939.49 1 in 20
Pennsylvania 462954 12030 2.67 168660 11961 235 2.00 2.58 36162.66 934.31 1 in 28
Wisconsin 456889 4709 1.04 98776 4209 67 1.62 0.92 78470.45 722.89 1 in 13
Michigan 454720 6302 1.41 143679 10900 194 1.81 2.40 45531.84 1091.43 1 in 22
Tennessee 428973 6011 1.42 100885 5240 69 1.33 1.22 62778.00 766.85 1 in 16
North Carolina 416083 5556 1.35 90925 5714 53 0.94 1.37 39671.97 544.81 1 in 25
Indiana 404935 6518 1.64 129432 6603 97 1.49 1.63 60148.82 980.81 1 in 17
Arizona 387529 4928 1.29 100304 7154 73 1.03 1.85 50890.93 939.47 1 in 20
New Jersey 386606 5120 1.34 92862 17608 66 0.38 4.55 43525.98 1982.39 1 in 23
Minnesota 367218 3499 0.96 117312 4257 89 2.14 1.16 65113.82 754.84 1 in 15
Missouri 342418 4082 1.21 79275 4544 74 1.66 1.33 55791.77 740.38 1 in 18
Alabama 284922 4735 1.69 59012 4034 49 1.23 1.42 58109.58 822.73 1 in 17
Colorado 276995 4649 1.71 94194 3759 120 3.30 1.36 48099.96 652.75 1 in 21
Massachusetts 274781 5369 1.99 76231 11209 43 0.39 4.08 39539.66 1612.92 1 in 25
Virginia 271043 3915 1.47 60256 4335 54 1.26 1.60 31754.72 507.88 1 in 31
Louisiana 261329 2415 0.93 49363 6724 40 0.60 2.57 56214.36 1446.40 1 in 18
Iowa 252553 2273 0.91 50981 2724 0 0.00 1.08 80046.72 863.37 1 in 12
South Carolina 241686 2242 0.94 40526 4627 15 0.33 1.91 46941.04 898.67 1 in 21
Utah 225946 3401 1.53 59950 1016 21 2.11 0.45 70476.91 316.91 1 in 14
Maryland 225855 3202 1.44 51122 5012 50 1.01 2.22 37358.08 829.02 1 in 27
Oklahoma 225453 2460 1.10 61113 1980 35 1.80 0.88 56976.16 500.38 1 in 18
Kentucky 213449 4314 2.06 65059 2146 28 1.32 1.01 47776.33 480.34 1 in 21
Washington 192413 2550 1.34 55002 2850 -166 -5.50 1.48 25267.98 374.27 1 in 40
Kansas 182845 264 0.14 51664 1941 0 0.00 1.06 62761.86 666.25 1 in 16
Arkansas 178854 2202 1.25 38999 2820 34 1.22 1.58 59265.86 934.45 1 in 17
Nevada 178527 2193 1.24 50651 2434 50 2.10 1.36 57960.38 790.22 1 in 17
Mississippi 172955 2283 1.34 34164 4083 42 1.04 2.36 58113.69 1371.91 1 in 17
Nebraska 145774 1850 1.29 36494 1329 35 2.70 0.91 75358.46 687.03 1 in 13
Connecticut 142979 2431 1.73 43598 5327 42 0.79 3.73 40103.08 1494.13 1 in 25
Idaho 118028 1825 1.57 30050 1136 33 2.99 0.96 65861.45 633.91 1 in 15
New Mexico 114731 1781 1.58 40615 1846 23 1.26 1.61 54716.43 880.38 1 in 18
Oregon 89838 1551 1.76 28965 1123 13 1.17 1.25 21300.05 266.26 1 in 47
South Dakota 88727 704 0.80 18985 1177 30 2.62 1.33 100295.14 1330.46 1 in 10
North Dakota 86707 558 0.65 18095 1109 23 2.12 1.28 113779.46 1455.26 1 in 9
Montana 70892 759 1.08 19074 781 10 1.30 1.10 66329.96 730.74 1 in 15
Rhode Island 69247 948 1.39 22296 1498 14 0.94 2.16 65366.76 1414.06 1 in 15
West Virginia 59695 1233 2.11 22296 921 20 2.22 1.54 33402.40 515.35 1 in 30
Puerto Rico 59458 496 0.84 15027 1238 19 1.56 2.08 18617.31 387.64 1 in 54
Delaware 43036 643 1.52 12883 806 3 0.37 1.87 44195.51 827.72 1 in 23
Alaska 39345 638 1.65 13264 155 5 3.33 0.39 53783.43 211.88 1 in 19
Wyoming 38223 338 0.89 12054 299 0 0.00 0.78 66043.03 516.62 1 in 15
New Hampshire 28273 681 2.47 11978 584 14 2.46 2.07 20793.39 429.50 1 in 48
District of Columbia 24098 244 1.02 4420 708 4 0.57 2.94 34145.28 1003.19 1 in 29
Hawaii 19179 123 0.65 2098 268 2 0.75 1.40 13545.72 189.28 1 in 74
Maine 14861 407 2.82 5127 246 0 0.00 1.66 11055.55 183.01 1 in 90
Vermont 5413 128 2.42 2103 89 3 3.49 1.64 8674.83 142.63 1 in 115

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestedinPast21Days ConfirmedinPast21Days ConfirmationRateForPast21Days TestsPerMillPopl
1 California 26324332 1482551 5.63 4771804 405377 8.50 666232.6
2 Texas 11721811 1374256 11.72 2065314 254614 12.33 404257.8
3 Florida 13490464 1094697 8.11 2141868 180364 8.42 628113.8
4 Illinois 11481848 823531 7.17 2009174 202148 10.06 906093.0
5 New York 21301446 743242 3.49 3915078 163860 4.19 1094989.6
6 Ohio 6706714 531850 7.93 1230979 205235 16.67 573757.9
7 Georgia 4621841 525402 11.37 611165 88246 14.44 435307.2
8 Pennsylvania 3450796 462954 13.42 532291 168660 31.69 269551.5
9 Wisconsin 4745656 456889 9.63 713464 98776 13.84 815063.9
10 Michigan 7226999 454720 6.29 1234072 143679 11.64 723651.0
11 Tennessee 4841914 428973 8.86 623282 100885 16.19 708589.3
12 North Carolina 5778458 416083 7.20 992195 90925 9.16 550954.6
13 Indiana 4762893 404935 8.50 1037559 129432 12.47 707477.4
14 Arizona 2437709 387529 15.90 400421 100304 25.05 320123.9
15 New Jersey 6537755 386606 5.91 1067425 92862 8.70 736052.1
16 Minnesota 4592108 367218 8.00 1057363 117312 11.09 814256.7
17 Missouri 3269682 342418 10.47 404509 79275 19.60 532744.7
18 Alabama 1684362 284922 16.92 187645 59012 31.45 343524.1
19 Colorado 3642518 276995 7.60 946818 94194 9.95 632520.4
20 Massachusetts 9278419 274781 2.96 1701445 76231 4.48 1335119.8
21 Virginia 3600741 271043 7.53 593280 60256 10.16 421853.8
22 Louisiana 3704865 261329 7.05 593238 49363 8.32 796951.8
23 Iowa 1111940 252553 22.71 100464 50981 50.75 352429.6
24 South Carolina 2614236 241686 9.24 452109 40526 8.96 507745.4
25 Utah 1976803 225946 11.43 309543 59950 19.37 616602.9
26 Maryland 4855955 225855 4.65 857885 51122 5.96 803210.7
27 Oklahoma 2297621 225453 9.81 407060 61113 15.01 580651.5
28 Kentucky 2840222 213449 7.52 510827 65059 12.74 635727.4
29 Washington 3225428 192413 5.97 389956 55002 14.10 423568.4
30 Kansas 876052 182845 20.87 127791 51664 40.43 300706.3
31 Arkansas 1812998 178854 9.87 260548 38999 14.97 600763.1
32 Nevada 1787862 178527 9.99 316098 50651 16.02 580445.3
33 Mississippi 1199255 172955 14.42 153473 34164 22.26 402955.3
34 Nebraska 1505293 145774 9.68 302179 36494 12.08 778167.3
35 Connecticut 3640545 142979 3.93 743265 43598 5.87 1021108.5
36 Idaho 495738 118028 23.81 55383 30050 54.26 276629.5
37 New Mexico 1692676 114731 6.78 271879 40615 14.94 807255.2
38 Oregon 2216527 89838 4.05 1231235 28965 2.35 525525.2
39 South Dakota 346200 88727 25.63 42931 18985 44.22 391337.2
40 North Dakota 1149006 86707 7.55 153136 18095 11.82 1507759.2
41 Montana 702525 70892 10.09 106696 19074 17.88 657316.1
42 Rhode Island 1694802 69247 4.09 293639 22296 7.59 1599834.2
43 West Virginia 1275008 59695 4.68 297469 22296 7.50 713432.1
45 Delaware 810338 43036 5.31 166996 12883 7.71 832170.8
46 Alaska 1113360 39345 3.53 214561 13264 6.18 1521929.6
47 Wyoming 437060 38223 8.75 280761 12054 4.29 755167.5
48 New Hampshire 888929 28273 3.18 150867 11978 7.94 653763.2
49 District of Columbia 757833 24098 3.18 149999 4420 2.95 1073799.6
50 Hawaii 721655 19179 2.66 109040 2098 1.92 509689.4
51 Maine 961560 14861 1.55 173211 5127 2.96 715333.6
52 Vermont 601629 5413 0.90 108764 2103 1.93 964166.0

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 4350769 435653 2093 0.48 10.01 5613 748 87243 23449 5.38
Piemonte 1712408 181531 974 0.54 10.60 4069 310 61107 6897 3.80
Veneto 2941145 177568 4197 2.42 6.04 2606 330 83137 4551 2.56
Campania 1751218 169992 1198 0.71 9.71 1789 140 96165 2165 1.27
Emilia-Romagna 2276951 139800 1453 1.05 6.14 2845 229 64717 6386 4.57
Lazio 2414442 135913 1488 1.11 5.63 3036 339 90767 2802 2.06
Toscana 1680849 110440 517 0.47 6.57 1323 247 22332 3032 2.75
Sicilia 1056737 75367 1059 1.43 7.13 1342 197 36969 1895 2.51
Puglia 867066 68506 1332 1.98 7.90 1600 200 48802 1834 2.68
Liguria 637449 54684 320 0.59 8.58 822 85 8958 2602 4.76
Friuli Venezia Giulia 792239 37789 672 1.81 4.77 652 62 14195 1164 3.08
Marche 443307 33383 323 0.98 7.53 501 86 13219 1373 4.11
Abruzzo 449788 31201 227 0.73 6.94 657 65 15991 1013 3.25
P.A. Bolzano 328783 26031 244 0.95 7.92 239 31 10721 612 2.35
Umbria 447196 25615 182 0.72 5.73 310 55 5379 498 1.94
Sardegna 409587 25279 248 0.99 6.17 610 63 14994 556 2.20
Calabria 390615 19175 169 0.89 4.91 370 24 9776 373 1.95
P.A. Trento 404137 17816 217 1.23 4.41 431 48 2446 744 4.18
Basilicata 163918 9186 46 0.50 5.60 122 15 6271 189 2.06
Valle d’Aosta 57189 6801 18 0.27 11.89 98 10 783 344 5.06
Molise 100381 5417 22 0.41 5.40 53 7 2555 147 2.71

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 158310 1842 1.18 7382 33 0.45 4.66 18542.52 864.64 1 in 54
Ontario 138529 1930 1.41 3891 30 0.78 2.81 9416.17 264.48 1 in 106
Alberta 75054 1566 2.13 666 13 1.99 0.89 17006.92 150.91 1 in 59
British Columbia 40060 723 1.84 587 28 5.01 1.47 7838.12 114.85 1 in 128
Manitoba 19947 292 1.49 451 13 2.97 2.26 14480.40 327.40 1 in 69
Saskatchewan 11223 324 2.97 75 4 5.63 0.67 9497.61 63.47 1 in 105
Nova Scotia 1393 4 0.29 65 0 0.00 4.67 1425.13 66.50 1 in 702
New Brunswick 546 4 0.74 7 0 0.00 1.28 700.01 8.97 1 in 1429
Newfoundland and Labrador 354 1 0.28 4 0 0.00 1.13 678.99 7.67 1 in 1473
Nunavut 229 0 0.00 0 0 NaN 0.00 NA NA 1 in NA
Prince Edward Island 84 0 0.00 0 0 NaN 0.00 531.11 0.00 1 in 1883
Yukon 58 0 0.00 1 0 0.00 1.72 1411.95 24.34 1 in 708
Northwest Territories 15 0 0.00 0 0 NaN 0.00 334.05 0.00 1 in 2994
Repatriated Travellers 13 0 0.00 0 0 NaN 0.00 NA NA 1 in NA

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 47710.92 892.85 1 in 21
India 7316.46 106.19 1 in 137
Brazil 32402.29 858.89 1 in 31
Russia 17620.16 309.82 1 in 57
France 35701.49 851.53 1 in 28
United Kingdom 26980.90 950.92 1 in 37
Italy 29549.39 1035.48 1 in 34
Spain 36863.61 1014.66 1 in 27
Argentina 33481.27 913.28 1 in 30
Colombia 28528.86 784.27 1 in 35
Germany 15546.47 254.43 1 in 64
Mexico 9420.48 869.40 1 in 106
Poland 29017.80 569.51 1 in 34
Iran 13344.30 634.50 1 in 75
Peru 30435.53 1134.57 1 in 33
Turkey 11827.32 194.91 1 in 85
Ukraine NA NA 1 in NA
South Africa 14752.54 401.04 1 in 68
Belgium 52666.40 1551.93 1 in 19
Indonesia 2268.69 69.45 1 in 441

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 30 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 100 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
Los Angeles California 487917 8149 1.67
Cook Illinois 342654 7203 2.10
Miami-Dade Florida 251283 3943 1.57
Maricopa Arizona 241880 4244 1.75
Harris Texas 202861 3110 1.53
Dallas Texas 154376 1742 1.13
Clark Nevada 135296 1935 1.43
Broward Florida 117525 1721 1.46
San Bernardino California 115641 1209 1.05
Tarrant Texas 115476 1144 0.99
Riverside California 111053 1551 1.40
San Diego California 99599 1114 1.12
Queens New York 99316 7389 7.44
Kings New York 98045 7542 7.69
Orange California 94647 1640 1.73
El Paso Texas 91468 1302 1.42
Bexar Texas 91394 1561 1.71
Salt Lake Utah 91056 459 0.50
Milwaukee Wisconsin 80863 820 1.01
Philadelphia Pennsylvania 78565 2117 2.69
Hennepin Minnesota 76902 1200 1.56
Wayne Michigan 74378 3377 4.54
Suffolk New York 71043 2097 2.95
Palm Beach Florida 70966 1756 2.47
Bronx New York 69540 5034 7.24
Nassau New York 67978 2292 3.37
Franklin Ohio 66184 690 1.04
Hillsborough Florida 63339 977 1.54
Orange Florida 61697 677 1.10
St. Louis Missouri 58197 1143 1.96
Westchester New York 56995 1550 2.72
Middlesex Massachusetts 55765 2507 4.50
Utah Utah 55631 168 0.30
Marion Indiana 55217 939 1.70
Oakland Michigan 53510 1462 2.73
Shelby Tennessee 52963 725 1.37
DuPage Illinois 52882 875 1.65
Cuyahoga Ohio 52712 802 1.52
King Washington 51596 894 1.73
New York New York 50419 3236 6.42
Mecklenburg North Carolina 49234 479 0.97
Duval Florida 48732 664 1.36
Pima Arizona 48436 762 1.57
Davidson Tennessee 48146 456 0.95
Kern California 47411 463 0.98
Hidalgo Texas 46449 2110 4.54
Oklahoma Oklahoma 46425 353 0.76
Providence Rhode Island 46213 1114 2.41
Douglas Nebraska 46012 412 0.90
Prince George’s Maryland 45871 974 2.12
Fairfield Connecticut 45509 1581 3.47
Fulton Georgia 45471 738 1.62
Sacramento California 45336 646 1.42
Gwinnett Georgia 45002 557 1.24
Will Illinois 44883 650 1.45
Santa Clara California 44039 519 1.18
Macomb Michigan 43848 1389 3.17
Essex Massachusetts 43110 1510 3.50
Jefferson Kentucky 43006 479 1.11
Suffolk Massachusetts 42667 1291 3.03
Lake Illinois 42110 700 1.66
Fresno California 41954 514 1.23
Travis Texas 41519 502 1.21
Denver Colorado 41309 587 1.42
Hamilton Ohio 40751 390 0.96
Essex New Jersey 39782 2288 5.75
Bergen New Jersey 39303 2187 5.56
Jefferson Alabama 38794 548 1.41
Kent Michigan 38367 441 1.15
Tulsa Oklahoma 37922 295 0.78
Montgomery Maryland 37738 1002 2.66
Polk Iowa 36942 357 0.97
Allegheny Pennsylvania 36707 635 1.73
Pinellas Florida 36426 942 2.59
New Haven Connecticut 36354 1351 3.72
Hudson New Jersey 36049 1622 4.50
Kane Illinois 35872 517 1.44
Fairfax Virginia 35428 632 1.78
Lubbock Texas 35423 436 1.23
Middlesex New Jersey 35313 1534 4.34
Hartford Connecticut 35245 1674 4.75
Alameda California 35047 533 1.52
Passaic New Jersey 34219 1358 3.97
Adams Colorado 34021 407 1.20
Cobb Georgia 33719 530 1.57
El Paso Colorado 33618 393 1.17
Lake Indiana 33496 515 1.54
Lee Florida 33431 610 1.82
Wake North Carolina 33082 319 0.96
Baltimore Maryland 32853 801 2.44
Ramsey Minnesota 32625 566 1.73
Bernalillo New Mexico 32581 408 1.25
Waukesha Wisconsin 31864 286 0.90
Arapahoe Colorado 31763 485 1.53
Sedgwick Kansas 31748 199 0.63
Union New Jersey 31557 1470 4.66
Erie New York 31282 919 2.94
Johnson Kansas 31155 327 1.05
Dane Wisconsin 30847 112 0.36
Collin Texas 30763 291 0.95

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below were the overall (not current) hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

Github Repo: CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc